Anisotropic Reverse-Time Migration of Ground-Penetrating Radar Data Collected on the Sand Dunes in the Badain Jaran Desert

Lu, Xinglin; Song, Ao; Qian, Rongyi; Liu, Lanbo

doi:10.1109/jstars.2017.2787671

Cited by 7 publications

(3 citation statements)

References 28 publications

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“…where k is the propagation constant related with wave velocity and electric field E, which is located on the point p(xp, yp, zp) closed by infinitely large hemisphere, can be expressed by equation (21), which is the Kirchhoff integral solution 1 1 ( , , , )…”

Section: Numerical Simulation Of Concealed Geological Structuresmentioning

confidence: 99%

Research on Ground of Penetrating Radar in the Coal Mine Detecting: A Case Study of Application in Huaibei Coal Mine

Ma¹,

Shen²,

Su³

et al. 2019

ELEKTRON ELEKTROTECH

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Although many geophysical techniques have been used to detect the disaster geological anomalous body in the Huaibei coal mine company, there are still many mining disasters happening. The main reason is that the coal seam is rich of water in Huaibei coal areas. If the ground water connects with tunnels, it will cause the flood to collapse the coal seam. However, these dangerous geological bodies usually are very hided from the viewpoint of traditional electromagnetic and seismic methods. Due to the great difference of permittivity between the water-bearing rock and the surrounding rock, the high frequency electromagnetic wave can be received by a Ground Penetrating Radar (GPR) to detect the water-bearing rocks. Hence, we try to employ the high frequency electromagnetic wave to detect the water-bearing rock, which frequently results in a coal mining disaster. Firstly, the numerical simulations based on the theory research and its` effectivity analysis are done. Then, the method is used for the coal mine of Huaibei Company. Finally, the comparison between the detected results and the geological drilling information indicates the detection effectiveness of the GPR (Ground Penetrating Radar) in the coal mine tunnel.

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Section: Numerical Simulation Of Concealed Geological Structuresmentioning

confidence: 99%

Research on Ground of Penetrating Radar in the Coal Mine Detecting: A Case Study of Application in Huaibei Coal Mine

Ma¹,

Shen²,

Su³

et al. 2019

ELEKTRON ELEKTROTECH

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“…umerical simulation for GPR is an increasingly important yutianxiaoyy@csu.edu.cn, fengdeshan@126.com, syding@csu.edu.cn, libingchao@csu.edu.cn, yx_liu@csu.edu.cn, and feng_zheng@csu.edu.cn. and effectively guide the interpretation of GPR data [1], [2]. This paper intends to study a high accuracy and high efficiency numerical simulation method that can adapt to complex geological models, so as to lay a good foundation for subsequent data processing or imaging works in GPR [3]- [5]. In the focused time-domain approach, finite difference time-domain (FDTD) [6], [7] has some tempting advantages in GPR numerical simulation, such as wide application [8], saving storage space and computing time, and so on [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

A High-Efficiency Spectral Element Method Based on CFS-PML for GPR Numerical Simulation and Reverse Time Migration

Wang

Feng

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Improving the accuracy and efficiency of the numerical simulation of ground penetrating radar (GPR) becomes a pressing need with the rapidly increased amount of inversion data and the growing demand for migration imaging quality. In this paper, we present a numerical spectral element time-domain (SETD) simulation procedure for GPR forward modeling and further apply it to the reverse time migration (RTM) with complex geoelectric models. This approach takes into account the flexibility of the finite element methods and the high precision of the spectral methods. Meanwhile, in this procedure, the complex frequency shifted perfectly matched layer (CFS-PML) is loaded to effectively suppress the echo at the truncated boundary, and the per-element GPU parallel framework used can achieve up to 5.7788 times the efficiency compared with the CPU calculation. The experiments on SETD spatial convergence and CFS-PML optimal parameter selection showed that, under the same degree of freedom, the SETD offered substantially better accuracy compared with the traditional FETD. The experiments on RTM of different profiles with different orders of SETD via a complex geoelectric model verify the universality of the algorithm. The results indicate that the RTM imaging effect has been significantly improved with the increase of SETD order. It fully proves the great potential of efficient and high-precision SETD simulation algorithm in the RTM imaging direction and shows certain guiding significance for underground target structure exploration.Index Terms-Spectral element method (SEM), ground penetrating radar (GPR), complex frequency shifted perfectly matched layer (CFS-PML), per-element GPU parallel framework.

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“…Ground penetrating radar (GPR) has become a valuable tool for the non-destructive testing of the steel-reinforcing bars in highway or concrete bridge decks for the past 20 years, leading to the development of a variety of GPR systems for this application [1][2][3][4]. However, various factors of the most commercial GPR data acquisition system, such as the low rate equivalent time sampling (ETS) method, relatively low signal sampling rate [5][6][7][8][9][10], limit the scanning speed of these GPRs to speeds that are too slow to move with traffic, and instead require lane closures and other traffic disruptions [4,11,12].…”

Section: Introductionmentioning

confidence: 99%

Integrated synchronous data acquisition subsystem for high‐speed GPR system

Xia

et al. 2019

IET Circuits, Devices & Systems

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In this study, an integrated synchronous data acquisition subsystem for high-speed dual-channel ultra-wideband ground penetrating radar (GPR) system is designed and tested. Factors that could cause data missing and asynchronisation are analyzed. According to timing sequence, a field-programmable gate array-based onboard digital control module is integrated to synchronise the data acquisition and data storage subsystems. By applying simultaneous multi-buffer acquisition and readout mode and multi-threading configuration, as well as the critical section control and queue storage structure, the GPR data throughput is considerably improved. For the practicality of this system, a smart End-of-Job control design is performed between different threads to control data acquisition. By using different performance indexes, receiver operation characteristic curve, maximum scan rate, and the rebar detection experiment demonstrate the superiority of author's method.

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Anisotropic Reverse-Time Migration of Ground-Penetrating Radar Data Collected on the Sand Dunes in the Badain Jaran Desert

Cited by 7 publications

References 28 publications

Research on Ground of Penetrating Radar in the Coal Mine Detecting: A Case Study of Application in Huaibei Coal Mine

Research on Ground of Penetrating Radar in the Coal Mine Detecting: A Case Study of Application in Huaibei Coal Mine

A High-Efficiency Spectral Element Method Based on CFS-PML for GPR Numerical Simulation and Reverse Time Migration

Integrated synchronous data acquisition subsystem for high‐speed GPR system

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